Zobrazeno 1 - 10
of 6 406
pro vyhledávání: '"Chung， Young-In"'
Autor:
Shi, Yang, Chung, Young-joo
Existing group recommender systems utilize attention mechanisms to identify critical users who influence group decisions the most. We analyzed user attention scores from a widely-used group recommendation model on a real-world E-commerce dataset and
Externí odkaz:
http://arxiv.org/abs/2410.02074
Autor:
Miyoung SHIN
Publikováno v:
Uisahak, Vol 29, Iss 2, Pp 537-567 (2020)
This paper analyzes the research process of Kim Chung Yong (henceforth referred to as KIM), who presented the hepatitis B vaccine in South Korea. In South Korea, which had been called the Hepatitis Kingdom, KIM developed a vaccine material for hepati
Externí odkaz:
https://doaj.org/article/9913f255255144628d5b5b509fc0704d
Akademický článek
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Autor:
신미영
Publikováno v:
Korean Journal of Medical History; aug2020, Vol. 29 Issue 2, p537-567, 31p
Autor:
Jeong, Chang-Gi1,2 (AUTHOR), Lee, Chung-Young3 (AUTHOR), Chae, Su-Beom1 (AUTHOR), Kwon, Jung-Hoon4 (AUTHOR), Na, Eun-Jee1 (AUTHOR), Park, Jun-Soo1 (AUTHOR), Kim, Young-Sik1 (AUTHOR), Kim, Seung-Chai1 (AUTHOR), Kim, Hwan-Ju1 (AUTHOR), Sung, Young-Sun1 (AUTHOR), Kim, Sun-Young1 (AUTHOR), Kim, Won-Il1 (AUTHOR), Oem, Jae-Ku1 (AUTHOR) jku0623@jbnu.ac.kr, Ozawa, Makoto (AUTHOR) mozawa@vet.kagoshima-u.ac.jp
Publikováno v:
Transboundary & Emerging Diseases. 11/20/2024, Vol. 2024, p1-10. 10p.
Estimating position bias is a well-known challenge in Learning to Rank (L2R). Click data in e-commerce applications, such as targeted advertisements and search engines, provides implicit but abundant feedback to improve personalized rankings. However
Externí odkaz:
http://arxiv.org/abs/2305.13931
Publikováno v:
Korean Journal of Veterinary Research. Jun2024, Vol. 64 Issue 2, p1-6. 6p.
Autor:
Lee, Chung-Young1,2 (AUTHOR) cylee87@knu.ac.kr
Publikováno v:
Viruses (1999-4915). Jul2024, Vol. 16 Issue 7, p1129. 14p.
Autor:
Chung, Young Mo1 (AUTHOR) ymchung@hansung.ac.kr, Chung, Beom Jin2 (AUTHOR) bjchung@seoultech.ac.kr, Kim, Dong Sik3 (AUTHOR) dskim@hufs.ac.kr
Publikováno v:
Energies (19961073). Nov2024, Vol. 17 Issue 21, p5488. 19p.
In this paper, we study item advertisements for small businesses. This application recommends prospective customers to specific items requested by businesses. From analysis, we found that the existing Recommender Systems (RS) were ineffective for sma
Externí odkaz:
http://arxiv.org/abs/2212.01414